用RBF神经网络算法对非线性干扰进行估计，提高控制精度，并将其与普通滑模控制进行比较。(The RBF neural network algorithm is used to estimate the nonlinear disturbance, and the control accuracy is improved.)

神经网络滑模控制提出了一种新的基于滑模面的控制，所以从仿真图可以看出在两端会有振荡现象产生(Neural network sliding mode control proposed a new control based on sliding mode, so it can be seen from the simulation diagram that there will be oscillations at both ends.)